OCI Cloud AI Architect

Job highlights

• Shift timings : 2PM to 11PM IST . Total Experience : 10-15 years
• Must have knowledge of data ingestion,feature engineering,model training,evaluation,deployment,and monitoring
• Proficient in AI / ML/Gen AI frameworks (e.g.,TensorFlow,PyTorch,Hugging Face,LangChain) & Vector DBs (e.g.,Pinecone,Milvus)
• Proficient in implementing Agentic AI Frameworks (e.g

Job Title: OCI Cloud AI Architect

Location: Preferable- Noida (PAN India)-WFO

Shift timings : 2PM to 11PM IST

Total Experience : 10-15 years

Primary Skill

• 1015 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack
• Strong Python programming development experience, streamlit, XML, JSON etc.
• Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models.
• Strong knowledge of AI governance, security, guardrails, and responsible AI.
• Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus).
• Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow)
• Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring
• Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows
• Experience with front end languages such as React, Angular or Javascript etc.
• Experience in Oracle ATP, 23ai Databases and vector queries

Secondary Skill

• Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios.
• Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes.
• Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components
• Good to have knowledge of Analytics and Data Science.
• We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting.